Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA
Lee, DongSeop, Gonzalez, Luis F., & Periaux, Jacques (2012) Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA. In Abbass, Hussein (Ed.) Proceedings of the IEEE World Congress on Computational Intelligence 2012, IEEE, Brisbane, QLD, pp. 1-8.
The paper investigates two advanced Computational Intelligence Systems (CIS) for a morphing Unmanned Aerial Vehicle (UAV) aerofoil/wing shape design optimisation. The first CIS uses Genetic Algorithm (GA) and the second CIS uses Hybridized GA (HGA) with the concept of Nash-Equilibrium to speed up the optimisation process. During the optimisation, Nash-Game will act as a pre-conditioner. Both CISs; GA and HGA, are based on Pareto optimality and they are coupled to Euler based Computational Fluid Dynamic (CFD) analyser and one type of Computer Aided Design (CAD) system during the optimisation.
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|Item Type:||Conference Paper|
|Keywords:||Shape design optimisation, Hybrid-game, Nash equilibrium, Evolutionary algorithm, Active flow control, Morphing aerofoil/wing|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)|
|Divisions:||Current > Research Centres > Australian Research Centre for Aerospace Automation|
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 IEEE|
|Copyright Statement:||This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible|
|Deposited On:||08 Aug 2012 09:31|
|Last Modified:||13 Jun 2013 01:05|
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